activity
20232026
most citedFrequency-domain MLPs are More Effective Learners in Time Series Forecasting

94 citations · 97 across the 9 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

eess.IV2024★ 2 cited

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction

Zixuan Gong, Guangyin Bao, Qi Zhang +9

Reconstruction of static visual stimuli from non-invasion brain activity fMRI achieves great success, owning to advanced deep learning models such as CLIP and Stable Diffusion. How…

cs.IR2024

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction

Jinzhi Shan, Qi Zhang, Chongyang Shi +3

Automatic Chinese patent approval prediction is an emerging and valuable task in patent analysis. However, it involves a rigorous and transparent decision-making process that inclu…

cs.LG2024

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift

Hui He, Qi Zhang, Kun Yi +4

The non-stationary nature of real-world Multivariate Time Series (MTS) data presents forecasting models with a formidable challenge of the time-variant distribution of time series,…

cs.CL2024

MSynFD: Multi-hop Syntax aware Fake News Detection

Liang Xiao, Qi Zhang, Chongyang Shi +3

The proliferation of social media platforms has fueled the rapid dissemination of fake news, posing threats to our real-life society. Existing methods use multimodal data or contex…

cs.IR2024★ 1 cited

Causal Learning for Trustworthy Recommender Systems: A Survey

Jin Li, Shoujin Wang, Qi Zhang +5

Recommender Systems (RS) have significantly advanced online content filtering and personalized decision-making. However, emerging vulnerabilities in RS have catalyzed a paradigm sh…